Senior Tech Lead / Solution Architect (AI) - #1174883

NTT SINGAPORE PTE. LTD.


Date: 8 hours ago
District: Singapore
Salary: $11,000 - $13,000 / month
Contract type: Full time
NTT SINGAPORE PTE. LTD.

Senior Tech Lead / Solution Architect

Key Responsibilities

  • Lead the technical design, architecture and development of scalable full-stack applications and AI-powered solutions.

  • Design and implement end-to-end application architecture across frontend, backend, APIs and AWS cloud infrastructure.

  • Drive the development and integration of AI capabilities, including LLMs, generative AI, machine learning models and AI-powered services.

  • Define technical standards, coding best practices, development frameworks and architectural guidelines.

  • Provide technical leadership, guidance and mentorship to junior engineers.

  • Oversee application performance, scalability, security and reliability.

  • Lead cloud architecture and deployment strategies, including CI/CD pipelines and infrastructure automation.

  • Collaborate with business stakeholders and cross-functional teams to translate business requirements into technical solutions.

  • Remain hands-on in software development, troubleshooting and solution implementation.

Requirements

  • 8–15 years of experience in software engineering, application development or solution architecture.

  • Strong hands-on development experience within the last 4–6 years.

  • Proven experience in designing and developing full-stack applications.

  • Strong hands-on experience with AWS services such as:

    • AWS Lambda

    • Amazon ECS / EKS

    • Amazon S3

    • Amazon RDS / DynamoDB

    • API Gateway

    • AWS Bedrock (preferred)

  • Strong programming experience in one or more languages such as Python, Java, JavaScript / TypeScript or Node.js.

  • Experience with modern frontend frameworks such as React, Angular or Vue.js.

  • Experience developing and integrating AI applications, particularly LLM-based applications, Generative AI or machine learning solutions.

  • Strong understanding of REST APIs, microservices architecture, databases and cloud-native application development.

  • Experience with DevOps practices, CI/CD, Docker and Kubernetes.

  • Strong problem-solving, communication and technical leadership skills.

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